Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
What does this resilience result mean?
These roles are expected to remain steady over time, with AI supporting rather than replacing the core work.
AI Resilience Report for
They set up and secure manufactured buildings and mobile homes, making sure they are safely placed and ready for people to live in.
This role is stable
This career is considered "Stable" because the core tasks of setting up and installing manufactured buildings and mobile homes still rely heavily on human skills and judgment. While AI and machines can assist with planning and diagnostics, the unpredictable nature of job sites and the need for precise, hands-on work make human installers essential.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is stable
This career is considered "Stable" because the core tasks of setting up and installing manufactured buildings and mobile homes still rely heavily on human skills and judgment. While AI and machines can assist with planning and diagnostics, the unpredictable nature of job sites and the need for precise, hands-on work make human installers essential.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Low Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Bldg. & MH Installers
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Most work of mobile‐home installers is still done by people, not robots. The heavy lifting and setting up of trailers or prefab walls happens with trucks and cranes – and today those machines need human operators. Companies like Caterpillar have researched self-steering dozers and cranes, but practical use on real sites is still at most trial stages [1] [1].
In fact, robots that can place big prefab panels with precision have been demonstrated in controlled factory settings [2], but on vibrating, ever-changing sites (with uneven ground and narrow space) installers’ hands and judgment are still needed [1] [1]. Similarly, plumbing and wiring tasks (like connecting hoses or fixing frayed wires) remain manual. There are smart tools – for example, AI-powered leak detectors and pressure sensors (Flood sensors like Moen Flo or Phyn) monitor pipes for leaks [3] – but the actual hook-up of hoses or repair of pipes is done by skilled installers.
Even job postings list only basic computer tools (email, spreadsheets) as needed skills [4], suggesting advanced AI systems aren’t common in daily work. In short, AI and automation mostly play supporting roles (for leak-detection, diagnostics or planning), while the core setup and finishing work relies on human skill.

AI in the real world
AI and robots could help with some parts of modular building, but use in this field has been slow. The technology exists mainly in specialized factories or labs, not on every jobsite. For example, studies show that fully automated modular factories can cut labor needs (and save time) by a lot, but they require huge investment – on the order of three times the equipment cost of a manual shop [5].
On a typical installation crew (at roughly $20/hour pay [4]), buying expensive robots won’t pay off quickly. In construction generally, experts note that sites are chaotic and unique, which makes autonomous machines hard to use safely [1] [1]. Workers may be in short supply in some areas, but the unpredictability of each site and licensing rules (plumbing, electrical codes) also mean people are preferred for now.
Socially, homeowners and regulators tend to trust skilled tradespeople for complex tasks. Overall, most employers are not rushing in; they might adopt things like planning software or AI training tools (even VR practice for installers [3]), but the heart of the job – measuring, adjusting, and seeing problems on the spot – remains human. Young installers can take heart: machines help with data or training, but real‐world problem solving and hands‐on work are still very much human strengths [1] [5].

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Median Wage
$41,080
Jobs (2024)
3,100
Growth (2024-34)
+5.9%
Annual Openings
300
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Install, repair, and replace units, fixtures, appliances, and other items and systems in mobile and modular homes, prefabricated buildings, or travel trailers, using hand tools or power tools.
Confer with customers or read work orders to determine the nature and extent of damage to units.
Inspect, examine, and test the operation of parts or systems to evaluate operating condition and to determine if repairs are needed.
Open and close doors, windows, and drawers to test their operation, trimming edges to fit, using jackplanes or drawknives.
Remove damaged exterior panels, repair and replace structural frame members, and seal leaks, using hand tools.
Connect electrical systems to outside power sources and activate switches to test the operation of appliances and light fixtures.
Repair leaks in plumbing or gas lines, using caulking compounds and plastic or copper pipe.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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